Zobrazeno 1 - 10
of 238
pro vyhledávání: '"Ritov, Y."'
We consider the problem of estimating the means $\mu_i$ of $n$ random variables $Y_i \sim N(\mu_i,1)$, $i=1,\ldots ,n$. Assuming some structure on the $\mu$ process, e.g., a state space model, one may use a summary statistics for the contribution of
Externí odkaz:
http://arxiv.org/abs/1406.1000
Publikováno v:
Statistical Science 2014, Vol. 29, No. 4, 619-639
We consider the Bayesian analysis of a few complex, high-dimensional models and show that intuitive priors, which are not tailored to the fine details of the model and the estimated parameters, produce estimators which perform poorly in situations in
Externí odkaz:
http://arxiv.org/abs/1203.5471
We consider the counting rate estimation of an unknown radioactive source, which emits photons at times modeled by an homogeneous Poisson process. A spectrometer converts the energy of incoming photons into electrical pulses, whose number provides a
Externí odkaz:
http://arxiv.org/abs/1202.6011
Autor:
Greenshtein, E., Ritov, Y.
We consider the problem of calibration and the GREG method as suggested and studied in Deville and Sarndal (1992). We show that a GREG type estimator is typically not minimal variance unbiased estimator even asymptotically. We suggest a similar estim
Externí odkaz:
http://arxiv.org/abs/1106.4500
We study the problem of incorporating covariates in a compound decision setup. It is desired to estimate the means of $n$ response variables, which are independent and normally distributed, and each is accompanied by a vector of covariates. We sugges
Externí odkaz:
http://arxiv.org/abs/1012.1563
The compound decision problem for a vector of independent Poisson random variables with possibly different means has half a century old solution. However, it appears that the classical solution needs smoothing adjustment even when there are many obse
Externí odkaz:
http://arxiv.org/abs/1006.4582
Assume that we observe a large number of curves, all of them with identical, although unknown, shape, but with a different random shift. The objective is to estimate the individual time shifts and their distribution. Such an objective appears in seve
Externí odkaz:
http://arxiv.org/abs/0807.1271
Autor:
Goldberg, Y., Ritov, Y.
We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al, 2000)). The me
Externí odkaz:
http://arxiv.org/abs/0806.2669
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consists of Locally Linear Embedding (LLE), Laplacian Eigenmap, Local Tangent
Externí odkaz:
http://arxiv.org/abs/0806.2646
Publikováno v:
Statistical Science, 2014 Nov 01. 29(4), 619-639.
Externí odkaz:
https://www.jstor.org/stable/43288502
